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Record W2992094662

Retrievals of carbonyl fluoride (COF2) from ACE-FTS and MIPAS spectra and their comparison with SLIMCAT CTM calculations

2014· article· en· W2992094662 on OpenAlexaboutno aff
Jeremy J. Harrison, Shaomin Cai, A. Dudhia, Martyn P. Chipperfield, C. D. Boone, P. F. Bernath

Bibliographic record

VenueODU Digital Commons (Old Dominion University) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsChemistrySpectral lineFluorideAstrobiologyInorganic chemistryPhysics
DOInot available

Abstract

fetched live from OpenAlex

The majority of fluorine in the atmosphere has resulted from the anthropogenic emission of chlorofluorocarbons (CFCs), hydrochlorofluorocarbons (HCFCs), and hydrofluorocarbons (HFCs). Most tropospheric fluorine is present in its emitted 'organic' form due to the molecules having long lifetimes. At the top of the stratosphere most of the fluorine is present as the 'inorganic' product HF, which, due to its extreme stability, is an almost permanent reservoir of stratospheric fluorine. The second most abundant stratospheric 'inorganic' fluorine reservoir is carbonyl fluoride (COF₂). The major sources of COF₂ are from the atmospheric degradation of CFC-12 (CCl₂F₂), which is now banned under the Montreal Protocol, and HCFC-22 (CHF₂Cl), the most abundant HCFC and classed as a transitional substitute under the Montreal Protocol. Although the amount of CFC-12 in the atmosphere is slowly decreasing, HCFC-22 is still on the increase. The amounts of COF₂, HF, and total fluorine in the atmosphere are all still increasing. Vertical profiles of COF₂ in the atmosphere have previously been determined from measurements taken by the Atmospheric Trace Molecule Spectrometry Experiment (ATMOS) instrument which flew four times on NASA space shuttles between 1985 and 1994. Additionally, there have been several studies into the seasonal variability of COF₂ columns above Jungfraujoch using ground-based Fourier transform infrared (FTIR) solar observations. The concentration of COF₂ in the atmosphere slowly increases with altitude up to the middle of the stratosphere, above which it decreases as photolysis becomes more efficient, leading to the production of HF. The use of satellite remote-sensing techniques allows the measurement of COF₂ atmospheric abundances with impressive global coverage, and the investigation more fully of COF₂ trends, and seasonal and latitudinal variability. This work presents global distributions of COF₂ using data from two satellite limb instruments: the Atmospheric Chemistry Experiment Fourier transform spectrometer (ACE-FTS), onboard the SCISAT-1 satellite, which has been recording atmospheric spectra since 2004, and the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument onboard the ENVIronmental SATellite (Envisat), which has recorded thermal emission atmospheric spectra between 2002 and 2012. The observations are compared with the output of SLIMCAT, a state-of-the-art three-dimensional chemical transport model (CTM). The model aids in the interpretation of the COF₂ satellite observations, and the comparison provides a validation of emission inventories and the atmospheric degradation reaction schemes used in the model.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.168
Teacher spread0.162 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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